Pharmacoat 606 (Hydroxypropyl methylcellulose, HPMC)
1 dataset, together covering 1.1–1.65 µm. Default: Juntunen et al. 2024: n 1.10–1.65 µm.
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Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# Pharmacoat 606 (Hydroxypropyl methylcellulose, HPMC): Juntunen et al. 2024: n 1.10–1.65 µm
pharmacoat606 = ls.fetch_refractiveindex("other", "Pharmacoat606", "Juntunen", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(pharmacoat606.range_nm) # (1100, 1650) nm
eps = pharmacoat606.eps([1350]) # complex permittivity
Downloads the original record once (pinned to the imported snapshot) and caches it.
import json, urllib.request
import lightsmith as ls
url = "https://materials.lightsmith.dev/v1/datasets/ds_8c5948f2aac5/lightsmith"
pharmacoat606 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(pharmacoat606.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (pharmacoat606/juntunen-2024).
# ... load pharmacoat606 as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=pharmacoat606)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=1100, stop_nm=1650, num=81),
)
res = ls.solve(sim) # exact Mie for a sphere
print(res.q_ext) # extinction efficiency at each wavelength
Same spec runs with DDA, FDTD, BEM or T-matrix: ls.compare(sim, ["mie", "dda"]).
Lightsmith is open source (MIT): Mie, T-matrix, BEM, DDA, FDTD, RCWA, TMM, mode solvers and inverse design behind one spec, on CPU or GPU. GitHub.
About Pharmacoat 606 (Hydroxypropyl methylcellulose, HPMC)
Other names: Hydroxypropyl methylcellulose, HPMC
API: /v1/materials/mat_1df787301df1 · slug pharmacoat606